Schaeffer, Joachim ; Lenz, Eric ; Gulla, Duncan ; Bazant, Martin Z. ; Braatz, Richard D. ; Findeisen, Rolf (2024)
Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data.
In: Cell Reports Physical Science
doi: 10.1016/j.xcrp.2024.102258
Artikel, Bibliographie

Kim, Minsu ; Schaeffer, Joachim ; Berliner, Marc D. ; Pedret Sagnier, Berta ; Bazant, Martin Z. ; Findeisen, Rolf ; Braatz, Richard D. (2024)
Fast Charging of Lithium-Ion Batteries While Accounting for Degradation and Cell-to-Cell Variability.
In: Journal of The Electrochemical Society, 171 (9)
doi: 10.1149/1945-7111/ad76dd
Artikel, Bibliographie

Kim, Minsu ; Schaeffer, Joachim ; Berliner, Marc D. ; Pedret Sagnier, Berta ; Findeisen, Rolf ; Braatz, Richard D. (2024)
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries.
2024 American Control Conference (ACC). Toronto, Canada (08.07.2024 - 12.07.2024)
doi: 10.23919/ACC60939.2024.10644639
Konferenzveröffentlichung, Bibliographie

Schaeffer, Joachim ; Galuppini, Giacomo ; Rhyu, Jinwook ; Asinger, Patrick A. ; Droop, Robin ; Findeisen, Rolf ; Braatz, Richard D. (2024)
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More.
2024 American Control Conference (ACC). Toronto, Canada (08.07.2024 - 12.07.2024)
doi: 10.23919/ACC60939.2024.10644790
Konferenzveröffentlichung, Bibliographie

Himmel, Andreas ; Matschek, Janine ; Kok (Louis), Rudolph ; Morabito, Bruno ; Nguyen, Hoang Hai ; Findeisen, Rolf
Hrsg.: Soroush, Masoud ; Braatz, Richard D. (2024)
Machine learning for control of (bio)chemical manufacturing systems.
In: Artificial Intelligence in Manufacturing - Concepts and Methods
doi: 10.1016/B978-0-323-99134-6.00009-8
Buchkapitel, Bibliographie

Schaeffer, Joachim ; Lenz, Eric ; Chueh, William C. ; Bazant, Martin Z. ; Findeisen, Rolf ; Braatz, Richard D. (2024)
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data.
In: Computers & Chemical Engineering, 180
doi: 10.1016/j.compchemeng.2023.108471
Artikel, Bibliographie

Hirt, Sebastian ; Höhl, Andreas ; Schaeffer, Joachim ; Pohlodek, Johannes ; Braatz, Richard D. ; Findeisen, Rolf (2024)
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging.
In: IFAC-PapersOnLine, 58 (14)
doi: 10.1016/j.ifacol.2024.08.426
Artikel, Bibliographie

Schurig, Roland ; Himmel, Andreas ; Mešanović, Amer ; Braatz, Richard D. ; Findeisen, Rolf (2023)
Estimating Parameter Regions for Structured Parameter Tuning via Reduced Order Subsystem Models.
2023 American Control Conference. San Diego, USA (31.05.2023-02.06.2023)
doi: 10.23919/ACC55779.2023.10156542
Konferenzveröffentlichung, Bibliographie

Schaeffer, Joachim ; Gasper, Paul ; Garcia-Tamayo, Esteban ; Gasper, Raymond ; Adachi, Masaki ; Gaviria-Cardona, Juan Pablo ; Montoya-Bedoya, Simon ; Bhutani, Anoushka ; Schiek, Andrew ; Goodall, Rhys ; Findeisen, Rolf ; Braatz, Richard D. ; Engelke, Simon (2023)
Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra.
In: Journal of The Electrochemical Society, 170 (6)
doi: 10.1149/1945-7111/acd8fb
Artikel, Bibliographie

Wan, Yiming ; Shen, Dongying E. ; Lucia, Sergio ; Findeisen, Rolf ; Braatz, Richard D. (2023)
A Polynomial Chaos Approach to Robust H_infinity Static Output-Feedback Control with Bounded Truncation Error.
In: IEEE Transactions on Automatic Control, 68 (1)
doi: 10.1109/TAC.2022.3140275
Artikel, Bibliographie

Schaeffer, Joachim ; Braatz, Richard D. (2022)
Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms.
In: Computers and Chemical Engineering, 167
doi: 10.1016/j.compchemeng.2022.108014
Artikel, Bibliographie